{"id":"W2562797673","doi":"10.1109/cdc.1999.832745","title":"Production and maintenance control for manufacturing system","year":2003,"lang":"en","type":"article","venue":"","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Preventive maintenance; Failure rate; State (computer science); Production (economics); Markov process; Reliability engineering; Corrective maintenance; Computer science; Process (computing); Production control; Control (management); Jump; Engineering; Mathematics; Artificial intelligence; Statistics; Algorithm; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001402932,0.00005853518,0.00007460425,0.00001801657,0.00003573589,0.00001511062,0.0000162751,0.00002920606,0.000003896719],"category_scores_gemma":[0.0000647881,0.00004916163,0.00001575053,0.00001914537,0.00001107143,0.00009066588,0.00000121317,0.00002684095,0.000002248867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004194114,"about_ca_system_score_gemma":0.000002555059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001411911,"about_ca_topic_score_gemma":0.000003180443,"domain_scores_codex":[0.9996544,0.000006798243,0.00009003246,0.0001024983,0.00002806698,0.0001182578],"domain_scores_gemma":[0.9998463,0.00001591948,0.000009643049,0.00008066662,0.00002491948,0.0000225481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003512255,0.00001498958,0.0002479669,0.001381463,0.00004792037,8.329937e-7,0.0001367388,0.8891051,0.003352484,0.09661931,0.004464044,0.004593999],"study_design_scores_gemma":[0.002048604,0.00008545323,0.0009855166,0.0002630204,0.00005587803,0.00008932558,0.001049887,0.7973172,0.1596064,0.002302798,0.03560547,0.0005904304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03631321,0.00008270506,0.9531239,0.0000949765,0.000543356,0.0005659523,0.000002325275,0.0003267665,0.008946757],"genre_scores_gemma":[0.9916674,0.00002923741,0.00766286,0.00001358655,0.00002686947,0.00006061693,8.088883e-7,0.00001081691,0.0005277752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9553542,"threshold_uncertainty_score":0.2004753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004385965844332355,"score_gpt":0.1699798835632062,"score_spread":0.1655939177188739,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}